Data Warehousing Professional

Location: Greater Harrisburg, PA (Hybrid/Onsite Options May Vary)
Job Type: Future Opportunity – Talent Pipeline
Status: Not an Active Opening

Job Summary

LingaTech is building a pipeline of experienced Data Warehousing professionals to support anticipated future needs with both Commonwealth and commercial clients. This posting is not tied to a current requisition. Instead, we are proactively identifying and engaging candidates with strong data engineering, analytics, and ETL backgrounds for upcoming contract, contract-to-hire, and full-time roles.

Potential Future Roles

You may be considered for upcoming openings such as:

• Data Warehouse Developers / Engineers

• ETL Developers

• Data Analysts / BI Analysts

• Data Architects

• Database Developers (SQL/PL-SQL/T-SQL)

• Data Quality / Data Governance Specialists

• Reporting Developers (Power BI, Tableau, Qlik)

• Cloud Data Engineers (Azure/AWS/GCP)

Potential Responsibilities

Responsibilities will vary by role but may include:

• Designing, building, and maintaining data warehouse environments (on-prem or cloud)

• Developing ETL/ELT pipelines using tools such as Informatica, SSIS, Azure Data Factory, Databricks, or similar

• Gathering requirements and translating business needs into data models and reporting solutions

• Building dashboards, KPIs, and visualizations in Power BI, Tableau, or Qlik

• Managing data quality, governance, metadata, and documentation

• Optimizing database performance and SQL queries

• Supporting data migration, integrations, and modernization initiatives

• Collaborating with cross-functional teams, business units, and technical stakeholders

Requirements

• Professional experience in data warehousing, ETL, or data engineering

• Proficiency with SQL and relational databases (SQL Server, Oracle, PostgreSQL, etc.)

• Experience with at least one modern ETL/ELT tool (e.g., SSIS, ADF, Informatica, Talend, Databricks)

• Ability to analyze and interpret data to support business decisions

• Strong problem-solving skills and attention to detail

• Ability to work in a client-facing or collaborative team environment

Preferred Qualifications

(Not required for pipeline consideration)

• Experience with cloud data platforms (Azure Synapse, AWS Redshift, Snowflake, BigQuery)

• BI/reporting experience with Power BI, Tableau, or Qlik

• Data modeling experience (Kimball, Inmon, Data Vault)

• Familiarity with Python, Spark, or other data engineering tools

• Public sector or enterprise data experience

• Knowledge of data governance best practices

Why Join Our Pipeline?

• Early access to new roles as they open

• Opportunities across a wide range of data and analytics projects

• Visibility for both short-term and long-term roles

• Connect with a relationship-driven team with strong ties to Central PA clients

Additional Notes

This is a pipeline posting only and is not associated with an active opening. It is used solely to identify future Data Warehousing talent.